H.H. Loomis

893 citations
35 papers · 599 · h-index 12

Impact in

Papers in

H.H. Loomis

34 papers receiving 551 citations

Peers

H.H. Loomis
Comparison fields: 5 of 54
  • Signal Processing 261
  • Hardware and Architecture 74
  • Computer Networks and Communications 161
  • Computational Mechanics 104
  • Artificial Intelligence 128
Replace P.M. Chau with:
P.M. Chau United States
André B.J. Kokkeler Netherlands
J.L. Aravena United States
Rueywen Liu United States
Dimitri Nion Belgium
Elio D. Di Claudio Italy
S.A. White United States
Aziza I. Hussein Egypt
Hussein Baher Ireland
Martin Kumm Germany
H.H. Loomis relative to P.M. Chau United States P.M. Chau's profile →
Citations per field
00.5×2.6×
P.M. Chau · 1×
Citations per year

Countries citing papers authored by H.H. Loomis

Since Specialization
Citations

This map shows the geographic impact of H.H. Loomis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by H.H. Loomis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.H. Loomis more than expected).

Fields of papers citing papers by H.H. Loomis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.H. Loomis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by H.H. Loomis. The network helps show where H.H. Loomis may publish in the future.

Co-authors

The 12 scholars most cited alongside H.H. Loomis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H.H. Loomis Line = papers co-authored together H.H. Loomis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991219
2 199373
3 198458
4 199740
5 200322
6 201118
7 200416
8 200516
9 199515
10 199114
11 196514
12 198811
13 19759
14 19658
15 19668
16 19646
17
Solar Cell Measurement System for NPS Spacecraft Architecture and Technology Demonstration Satellite, NPSAT1
20036
18 19955
19 20095
20 20114

About H.H. Loomis

H.H. Loomis is a scholar working on Signal Processing, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computational Mechanics and Hardware and Architecture, having authored 35 papers that have together received 599 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (8 papers), Advanced Adaptive Filtering Techniques (7 papers), Low-power high-performance VLSI design (6 papers), semigroups and automata theory (6 papers), Radiation Effects in Electronics (5 papers), Numerical Methods and Algorithms (5 papers), Cellular Automata and Applications (5 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Signal Processing (261 citations), Hardware and Architecture (74 citations), Computer Networks and Communications (161 citations), Computational Mechanics (104 citations) and Artificial Intelligence (128 citations). H.H. Loomis has collaborated with scholars based in United States, India and Canada. Frequent co-authors include W. A. Brown, Richard S. Roberts, W. A. Brown, M.A. Soderstrand, John McEachen, Rui Yuan, Dale McMorrow, S. Büchner, T.R. Weatherford and H. Brandt. Their work appears in journals such as IEEE Transactions on Computers, IEEE Transactions on Nuclear Science, IEEE Transactions on Education, IEEE Signal Processing Magazine and IEEE Transactions on Signal Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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